perf: optimize get_all_nested_components with stack iteration

[saquibsaifee]

Description

💡 What: Replaced the recursive function with an iterative stack-based approach.
🎯 Why: To avoid intermediate set allocations and recursive call overhead which was impacting performance for deep component trees.
📊 Measured Improvement: Improved execution time from ~123 seconds to ~55 seconds for 100 iterations of a 6-deep, 4-broad component tree (a >50% improvement).

AI Tool Disclosure

• My contribution includes AI-generated content, as disclosed below:
  • AI Tools: Gemini Jules
  • LLMs and versions: Gemini 3.1 Pro

Affirmation

• My code follows the CONTRIBUTING.md guidelines

[saquibsaifee]

The old recursive get_all_nested_components implementation suffered from performance and memory issues on deep/broad component trees because every step of the recursion would allocate a new set and call set.update() to merge sets from all child nodes upwards. These multiple allocations and merging operations cause high overhead.

By replacing the recursion with an iterative stack-based approach, we entirely avoid function call overhead and recursion limits (which protects against RecursionError in deeply nested graphs). We also avoid creating intermediate sets—everything is added directly to one single final set. Additionally, checking if current not in components: adds protection against cycles in the component graph (which would have caused infinite recursion in the old code).

As verified by tests, this retains the exact same functionality while delivering a significant (55% measured) performance boost and better safety guarantees.

[codacy-production]

Up to standards ✅

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[read-the-docs-community]

Documentation build overview

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